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PaddleSpeech/examples/librispeech/s0/conf/deepspeech2.yaml

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# https://yaml.org/type/float.html
data:
train_manifest: data/manifest.train
dev_manifest: data/manifest.dev-clean
test_manifest: data/manifest.test-clean
mean_std_filepath: data/mean_std.json
vocab_filepath: data/vocab.txt
augmentation_config: conf/augmentation.json
batch_size: 20
min_input_len: 0.0
max_input_len: 27.0 # second
min_output_len: 0.0
max_output_len: .inf
min_output_input_ratio: 0.00
max_output_input_ratio: .inf
specgram_type: linear
target_sample_rate: 16000
max_freq: None
n_fft: None
stride_ms: 10.0
window_ms: 20.0
delta_delta: False
dither: 1.0
use_dB_normalization: True
target_dB: -20
random_seed: 0
keep_transcription_text: False
sortagrad: True
shuffle_method: batch_shuffle
num_workers: 0
model:
num_conv_layers: 2
num_rnn_layers: 3
rnn_layer_size: 2048
use_gru: False
share_rnn_weights: True
training:
n_epoch: 50
lr: 1e-3
lr_decay: 0.83
weight_decay: 1e-06
global_grad_clip: 3.0
log_interval: 100
decoding:
batch_size: 128
error_rate_type: wer
decoding_method: ctc_beam_search
lang_model_path: data/lm/common_crawl_00.prune01111.trie.klm
alpha: 1.9
beta: 0.3
beam_size: 500
cutoff_prob: 1.0
cutoff_top_n: 40
num_proc_bsearch: 8